Shares of Oddity Tech Ltd. (NASDAQ:ODD – Get Free Report) have been assigned an average rating of “Moderate Buy” from the eight ratings firms that are covering the firm, Marketbeat.com reports. Three investment analysts have rated the stock with a hold recommendation and five have issued a buy recommendation on the company. The average twelve-month target price among brokerages that have issued a report on the stock in the last year is $53.00.
Several equities research analysts recently issued reports on the stock. Barclays raised their price objective on shares of Oddity Tech from $42.00 to $46.00 and gave the stock an “equal weight” rating in a research report on Thursday, February 27th. KeyCorp lifted their price target on shares of Oddity Tech from $50.00 to $52.00 and gave the company an “overweight” rating in a research report on Wednesday, January 8th. The Goldman Sachs Group began coverage on Oddity Tech in a report on Friday, December 13th. They issued a “neutral” rating and a $48.00 price objective on the stock. Morgan Stanley raised their target price on Oddity Tech from $46.00 to $50.00 and gave the stock an “equal weight” rating in a research note on Thursday, December 12th. Finally, Bank of America upped their price target on Oddity Tech from $50.00 to $58.00 and gave the company a “buy” rating in a research note on Thursday, February 27th.
Hedge Funds Weigh In On Oddity Tech
Oddity Tech Stock Down 4.2 %
Shares of NASDAQ:ODD opened at $44.63 on Wednesday. Oddity Tech has a 52-week low of $30.34 and a 52-week high of $51.00. The stock has a market cap of $2.49 billion, a P/E ratio of 27.21, a PEG ratio of 1.48 and a beta of 4.20. The business has a fifty day moving average of $44.65 and a two-hundred day moving average of $42.55.
Oddity Tech Company Profile
Oddity Tech Ltd. operates as a consumer tech company that builds digital-first brands for the beauty and wellness industries in the United States and internationally. It serves consumers worldwide through its AI-driven online platform, which uses data science, machine learning, and computer vision capabilities to identify consumer needs, and develop solutions in the form of beauty and wellness products.
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